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检索条件"任意字段=Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control"

共 342 条记录，以下是131-140 订阅

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Research on Aerodynamic Layout System of Small UAV Based on computer intelligent Flight control Software 3

Research on Aerodynamic Layout System of Small UAV Based on ...

引用

3rd IEEE international Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2024

作者： Wei, Dechen Fan, Yukun Zhao, Xiaoyang College of Electromechanical Engineering Binzhou University Shandong Province Binzhou City China

ISBN: (纸本)9798350380989

In this paper, the one-click full-function detection scheme is adopted to realize the comprehensive test method of the flight control system. Firstly, the hardware design of interface board, power board, signal adjusting board and test board is completed based on 586 driver board. Then the layered software architecture is given. The method adopts the modular design idea and completes the task decomposition. Then the communication mode based on ORB is proposed, and the idea of state machine is used to deal with emergencies. The system has the functions of bottom drive, timing control, power-on control, current detection, function detection and so on. It can detect the flight control computer automatically according to the preset timing logic without human intervention. Four different test cases are presented. The results of computer simulation verify that the chosen test route is consistent with the real one. The experiment proves that the scheme can complete the reliability test of the system well. © 2024 IEEE.

关键词： aerodynamic layout Automatic detection autonomous flight drones signal threshold detection

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Mask Wearing Detection System Based on YOLO and Raspberry Pi 3

Mask Wearing Detection System Based on YOLO and Raspberry Pi

引用

3rd international Conference on Consumer Electronics and computer Engineering, ICCECE 2023

作者： Liang, Ruishi Chen, Yizhu Li, Shuaibing Yang, Huizhi School of Computer University of Electronic Science and Technology of China Zhongshan Institute Zhongshan China

ISBN: (纸本)9798350331578

To identify mask wearing quickly and automatically in public places is particularly important for epidemic prevention and control. In this paper, we present a real-Time mask wearing detection algorithm based on improved YOLOv5s, which speeds up the reasoning speed by 510% and achieves a detection accuracy of more than 96%. The proposed algorithm can be easily deployed in Raspberry PI. We also design a Web-based mask wearing detection system consisting of two parts: The cloud subsystem and the edge subsystem. The cloud part mainly realizes data storage, model training, equipment monitoring, big data visualization and other functions. The edge part uses Raspberry Pie as the core deployment equipment to complete data collection, model reasoning, information early warning and other functions. Our system features the advantages of high real-Time, low cost and low network traffic. It can be widely deployed in the supermarket, parks, intelligent light poles and other open scenes, resulting in greater practical application value. © 2023 IEEE.

关键词： Disease control

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Image Segmentation Technology Based on Genetic Algorithm 2019

Image Segmentation Technology Based on Genetic Algorithm

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3rd international Conference on Digital Signal Processing (ICDSP) / 2nd international Conference on computer Graphics and Virtuality (ICCGV)

作者： Tan, Chong Sun, Ying Li, Gongfa Tao, Bo Xu, Shuang Zeng, Fei Wuhan Univ Sci & Technol Minist Educ Key Lab Met Equipment & Control Technol Wuhan 430081 Hubei Peoples R China Wuhan Univ Sci & Technol Hubei Key Lab Mech Transmiss & Mfg Engn Wuhan 430081 Hubei Peoples R China Wuhan Univ Sci & Technol Res Ctr Biol Manipulator & Intelligent Measuremen Wuhan 430081 Hubei Peoples R China

ISBN: (纸本)9781450362047

Image segmentation technology is one of the important topics in the field of digital image research. However, there is no uniform standard for existing image segmentation methods, and the traditional image segmentation method is only suitable for some specific occasions. Therefore, it is very urgent to research and develop new theories and methods of image segmentation technology. Genetic algorithm is a method for calculating the optimal solution by simulating the biological evolution process in the natural selection and genetic mechanism of biological evolution. It has strong robustness, parallelism, adaptability and fast convergence. It can be applied in image segmentation technology to determine the segmentation threshold. Therefore, this paper studies the image segmentation based on genetic algorithm, and compares different image segmentation algorithms. The experimental results show that the image segmentation effect based on genetic algorithm is better than the traditional image segmentation.

关键词： Image processing Image segmentation Genetic algorithm Matlab

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Combined goal recursion strategy and visual perception strategy on human problem solving and cognitive system simulation

Combined goal recursion strategy and visual perception strat...

引用

作者： Wang, Rifeng International WIC Institute Beijing University of Technology Beijing China Department of Computer Engineering Guangxi University of Technology Liuzhou China

ISBN: (纸本)9780769543604

his paper mainly discussed cognitive strategy application in human problem solving through mind simulation combined brain-imaging experiment. An artificial intelligent cognitive system based on ACT-R (Adaptive control of Thought-Rational) theory was built to simulate simplified 44 Sudoku problems. An fMRI (functional Magnetic Resonance Imaging) experiment was preformed to collect real data on brain activation pattern and to validate the system. It was assumed that participants used goal recursion and visual perception simultaneity when solving problem. Procedural rules integrated both strategies were introduced. Based on the assumption and procedural knowledge, the ACT-R cognitive system simulated both behavioral processing and brain activations. Compared ACT-R predictions and fMRI results, difference on response time is 0.1 and the average correlation on brain activation pattern of BOLD (Blood Oxygen Level-Dependent) response is about 0.9. The cooperation of goal module and visual module is illustrated to confirm the combination strategy. This study shows that combination of goal recursive strategy and visual perceptional strategy is effective in speeding up human problem solving. This study may shed light on the research of human-computer interface on intelligent system. © 2010 IEEE.

关键词： Problem solving

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Multi-sample Unit Preprocessing Platform and Its control System Design 3

Multi-sample Unit Preprocessing Platform and Its Control Sys...

引用

3rd international symposium on computer science and intelligent control, ISCSIC 2019

作者： Ran, Jingjing Fan, Zhiyong Luo, Yamei Yang, Liangen He, Tao Wang, Xuanze Hubei University of Technology Wuhan China Hubei Provincial Food Quality and Safety Supervision and Inspection Institute Wuhan China

ISBN: (纸本)9781450376617

Many complex samples must be preprocessed to analyze and detect. And sample preprocessed accounts for more than 60% of the entire sample analysis process. In order to improve efficiency and accuracy, an automated multi-sample preprocessing platform was designed and its automation control system was discussed. The functions of the platform mainly include: transferring 10 kinds of solvents, processing 96 samples, ultrasonic treatment, automatic cleaning. The control system of the platform is mainly composed of computer, PLC, syringe pump, distribution valve, sensor, stepping motor, ultrasonic pool, and the three-dimensional motion system. The platform adopts distributed control by LabVIEW and PLC, with friendly human-computer interaction interface and complete function. The platform selects six syringe pumps equipped with a dispensing valve to achieve the fluid transfer accuracy and efficiency requirements of the platform. The six syringe pumps are independent of each other, and the syringe range is 50μL∼*** working mode divided into normal mode and micro-step mode, which can achieve high throughput and ensure its volume accuracy. Install some proximity switches on the 3D motion system to achieve zero and limit point positioning for each axis. The PLC compares the current position with the received position command to obtain the difference in orientation. Finally, the PLC sends the required pulses to the stepper motor driver, and the proximity switch can verify the sample position. © 2019 ACM.

关键词： Syringes

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Wireless sensor-driven intelligent navigation robots for indoor construction site security and safety

Wireless sensor-driven intelligent navigation robots for ind...

引用

23rd international symposium on Robotics and Automation in Construction, ISARC 2006

作者： Cho, Yong K. Youn, Jong-Hoon Dept. of Construction Engineering Charles W. Durham School of Architectural Engineering and Construction University of Nebraska-Lincoln Omaha NE 68128 United States Dept. of Computer Science University of Nebraska-Omaha 6001 Dodge St. 282E Omaha NE United States

ISBN: (纸本)4990271718

This paper introduces an on-going research effort at the Peter Kiewit Institute (PKI) at Omaha, Nebraska for developing sensor-aided intelligent mobile robots that provide high-level navigation functions for indoor construction site security and safety using wireless sensor networking (WSN) technology. The ultimate goal of the research is the complete integration of the sensor-equipped robots into the WSN system to visualize sensed data information into 3D graphical control interface for advanced planning and execution against any anomalies that have been detected in warehouses, office buildings, manufacturing facilities, and various construction sites - everywhere there's a need for advanced frontline security.

关键词： Wireless sensor networks

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Design of intelligent Air Purifier and Indoor Environment Improvement System 3

Design of Intelligent Air Purifier and Indoor Environment Im...

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3rd international symposium on Resource Exploration and Environmental science, REES 2019

作者： Chen, Fengfeng Hong, Xueqiong Gongqing College of Nanchang University GongQing City China

Smart homes have developed rapidly in the wave of informationization, and Internet of Things water purifiers and air purifiers have gradually entered the families of ordinary people. In order to improve indoor environment, realize the remote control and state monitoring of the water purifier, the intelligent water purifier system is constructed by using the related technologies of the Internet of Things, and the communication and interaction between the hardware device and the APP are completed through the combination of software and hardware programming. An air purification system that integrates infrared remote control and Android mobile phone control, uses STM32 single-chip microcomputer as the control core, and uses various sensors to intelligently detect the indoor environment by using information fusion algorithm. The air purifier adopts an ion decomposition purification method, and the design of the finless device can reduce the loss of the consumables, reduce the growth of bacteria, and have low noise during operation. Experiments show that the purifier can effectively purify indoor air and improve purification efficiency. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Remote control

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FANpose: 2D human pose estimation with fully attentional networks under vision transformer baselines 3

FANpose: 2D human pose estimation with fully attentional net...

引用

3rd international symposium on computer Applications and Information Systems, ISCAIS 2024

作者： Chen, Mingliang Tan, Guangxing Guangxi University of Science and Technology School of Automation Intelligent Control Laboratory Liuzhou China

ISBN: (纸本)9781510681316

2D human pose estimation (HPE) has been a research focus of computer vision, 2D HPE baseline is one of the main *** the field of HPE continues to evolve, Vision Transformer Baselines have emerged as a significant area of interest, showing considerable potential in visual applications. However, accurate estimation remains a challenge in 2D *** study introduces a novel approach named FANpose for 2D HPE in images. Building upon the top-tier VITpose Baselines, we innovate in two main aspects. Firstly, we employ fully attentional net- works to replace the vision transformer baseline model, thereby enhancing the model’s robustness. Secondly, we improve keypoint localization accuracy by replacing traditional Gaussian kernels with Laplacian kernels, thereby enhancing the model’s recognition *** the MS COCO dataset, our model achieves AP and AR scores that are respectively 0.4 and 0.6 higher than VITpose-B, and our model is 32M smaller in terms of parameters than *** achieves satisfactory results in human pose estimation tasks, showcasing its immense potential for practical applications. © 2024 SPIE.

关键词： Laplace transforms

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Disease Prediction Using Weighted Artificial Immune System 3

Disease Prediction Using Weighted Artificial Immune System

引用

3rd international symposium on computer science and intelligent control, ISCSIC 2019

作者： Günay, Melike Orman, Zeynep Computer Engineering Istanbul Kültür University Istanbul Turkey

ISBN: (纸本)9781450376617

The Artificial Immune System (AIS) is a computational intelligence method inspired from the human immune system, which is applied to real-world problem solving related to classification, optimization and anomaly detection as an alternative approach to many data mining techniques. This paper presents a medical disease prediction system by using the AIS algorithm. The proposed system is implemented and tested on two different datasets which include breast cancer data and heart disease data with four different types of illness. Two other well-known data mining techniques that are Artificial Neural Networks (ANN) and K-Nearest Neighbor (KNN) are also tested on the same datasets to make a comparison in terms of their classification efficiency. By using AIS,. We also analyze accuracy obtained on breast cancer dataset is 98.08% and heart disease dataset is 70%. In addition to this, AIS algorithm gives the best classification results for both datasets the positive effect of preprocessing data before classification. Clearly, decreasing the number of different values that a class can be assigned for multivariate classes and assigning weights to each feature in heart disease dataset give prediction result with higher accuracy. © 2019 ACM.

关键词： Diseases

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Integrated Round Trip Path Dual Registers (RTPDR) Fault Detection 3

Integrated Round Trip Path Dual Registers (RTPDR) Fault Dete...

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3rd international symposium on computer science and intelligent control, ISCSIC 2019

作者： Stephen, Nkyi Feng, Yan Xue Gershon, Rodor Bonsu, Kusi Ankrah Computer Sci. NUAA Nanjing China Com and Info Sys. NJUPT Nanjing China

ISBN: (纸本)9781450376617

The numerous application of wireless sensor networks (WSNs) in every facet of today's world demands prompt detection and classification of faults. In this paper, an integrated round trip path dual registers (RTPDR) is presented which combines Round Trip Paths (RTP) and Dual Registers (DR) for detection and classification of node failure, node reboot and link failure diagnosis. Round trip path is adopted for nodes grouping and threshold monitoring. Detection and classification of faults are done by comparison of dual registers using each path traversed by a packet from the source node. Two different registers are kept and updated respectively depending on the path traversed by a packet to detect anomalous behaviors. The results from simulation in MATLAB demonstrates the proposed technique achieves better detection latency, false alarm rate and false positive rate when compared with existing protocols. © 2019 ACM.

关键词： Fault detection

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